Recent advances in conditional generative image models have enabled
impr...
Data augmentation has become a crucial component to train state-of-the-a...
In this paper, we propose revisited versions for two recent hotel recogn...
Generative Adversarial Networks (GANs) can generate near photo realistic...
Although recent complex scene conditional generation models generate
inc...
Learning-based approaches for semantic segmentation have two inherent
ch...
State-of-the-art semantic segmentation approaches increase the receptive...
We present graph attention networks (GATs), novel neural network
archite...